A newly identified retinal signaling molecule may help coordinate the eye’s response to damage, revealing a potential avenue ...
Aim To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography. Methods Diagnostic performance of a DLS was tested ...
For decades, the management of diabetic retinopathy (DR) has consisted mainly of optimizing metabolic control (blood glucose, pressure and lipids) and routine surveillance as preventive strategies, ...
A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...
Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap between health-care capacity and demand. However, few technologies have met the complex requirements ...
Mild COVID-19 can cause severe and long-lasting eye problems, according to a study from Linköping University, Sweden. The ...
Fascinating nervous system imaging reveals previously unseen obesity-related nerve damage in mice and humans — and some of it ...
Smartwatches still can’t measure blood sugar on their own, but AI-powered CGMs are changing how glucose data is tracked and ...
A routine eye photograph could soon become one of the fastest ways to check your overall health. Scientists have created an ...
Vascular mural cells (VMCs) are integral components of the retinal vasculature with critical homeostatic functions such as maintaining the inner blood-retinal barrier and vascular tone, as well as ...
In this study, we present a controlled comparison of ConvNeXt-Tiny, Swin-Tiny and variants of both networks either used as stand-alone networks or in a feature fusion configuration for diabetic ...
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